Assessment of freely available DSMs for automatic karst feature detection

Kakavas, Maria P.; Nikolakopoulos, Konstantinos G.; Kyriou, Aggeliki; Zagana, Helen

doi:10.1007/s12517-018-3654-8

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…The initial APLIS method [27] was applied in the karst system of Ziria, followed by the implementation of its modified version [28] in order to obtain a cross-comparison between the two adaptations. Modified APLIS was subsequently applied in the Planitero system, while in Xiromero the method was updated from Zagana et al [29], with karst landforms emerging from remote sensing techniques derived from a more recent study [46].…”

Section: Application Of the Aplis Methodsmentioning

confidence: 99%

Recharge Assessment in Greek Karst Systems: Methodological Considerations and Implications

Nanou,

Perdikaris,

Tserolas

et al. 2024

Water

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The recharge of karst aquifers is significant for the effective management of groundwater resources, and its estimation should be tailored to accommodate their specific hydrogeological characteristics. This study provides a two-step methodological approach for the determination of karst aquifer recharge. Initially, mean annual recharge rates were estimated in the karst system of Ziria (Southern Greece) utilizing the APLIS and modified APLIS methods in order to decipher which was the most suitable version for recharge assessments. The results indicated similar mean recharge rate values at 42.7% and 41.4%, respectively, but significant differences in the spatial distribution. The modified methodology emerged as a more accurate and realistic approach, mainly due to the incorporation of permeability assessments. The final phase of the methodological approach involved the application of modified APLIS in two additional karst hydrosystems, Planitero and Xiromero, while a quantitative cross-comparison of the recharge rates was obtained for a deeper understanding of the factors controlling the groundwater recharge process. In Ziria, recharge rates exhibit a relatively uniform distribution throughout the area, with a median value of 46.7%. Conversely, in Planitero, High recharge rates (60–80%) occupy 56.8% of the surface, while in Xiromero, Moderate recharge rates (40–60%) dominate, representing 53.4% of the land coverage. These variations underscore the spatial heterogeneity of recharge within the karst systems, highlighting the importance of considering local geological and hydrological conditions in its assessments. The methodological approach of this study is flexible and can be adapted to different karst sites for the determination of recharge regimes, contributing to the alleviation of the groundwater depletion issue.

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Section: Application Of the Aplis Methodsmentioning

confidence: 99%

Recharge Assessment in Greek Karst Systems: Methodological Considerations and Implications

Nanou,

Perdikaris,

Tserolas

et al. 2024

Water

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“…Ref. [51] counted detected dolines (karst depressions) with reference to manually interpreted data, while [52] relied on in-situ observations. Other terrain features like gullies are also possible [53].…”

Section: The Reference Datamentioning

confidence: 99%

Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application

López-Vázquez

López

2023

IJGI

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From an extensive search of papers related to the comparison of Global Digital Elevation Models (hereinafter GDEMs), an analysis is carried out that aims to answer several questions such as: Which GDEMs have been compared? Where have the comparisons been made? How many comparisons have been made? How have the assessments been carried out? Which is the GDEM option with the lowest RMSE? Analysis shows that SRTM and ASTER are the most popular GDEMs, that the countries where more comparisons have been made are Brazil, India, and China, and that the main type of reference data for evaluations is the use of points surveyed by GNSS techniques. A variety of criteria have been found for the comparison of GDEMs, but the most used are the RMSE and the standard deviation of the elevation error. There are numerous criteria with a more user-centric character in thematic areas, such as morphometry, geomorphology, erosion, etc. However, in none of the thematic areas does there exist a standard method of comparison. This limits the possibilities of establishing a ranking of GDEMs based on their user-focused quality. In addition, the methods and reference data set are not adequately explained or shared, which limits the interoperability of the studies carried out and the ability to make robust comparisons between them.

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“…A identificação remota dos locais com potencial para serem definidos como depressões cársticas utilizou um método semiautomático a partir de Modelos Digitais de Elevação globais e gratuitos, com resolução horizontal de 1 arco de segundo, em que as depressões são detectadas pela diferença entre o MDE bruto e o MDE com depressões preenchidas utilizando o algoritmo de Jenson & Domingue (1988), seguindo o método aplicado por Chen et al (2018), Kakavas et al (2018), Ghadimi & Zangenehtabar (2019) e Ferreira & Uagoda (2020).…”

Section: Métodos E Técnicasunclassified

Detecção E Delimitação De Depressões Cársticas Na Bacia Do Rio Sobrado – To, a Partir De Variados Modelos Digitais De Elevação

Pereira¹,

Morais²

2023

Geociencias

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A bacia do Rio Sobrado é situada em sua maior parte no sudeste do estado do Tocantins. A maior porção hidrogelógica da bacia pertence ao Sistema Aquífero Bambuí em que a litologia é composta por rochas carbonáticas que proporcionam uma paisagem característica de depressões superficiais, tornando-se importante fonte de recarga localizada. Este estudo buscou detectar, delimitar e avaliar as depressões potenciais na área de estudo, utilizando uma associação de Modelos Digitais de Elevação (MDE’s) Globais, além de um MDE híbrido que considerou as menores altitudes dentre os pixels de cada MDE. Para delimitação das depressões, foi utilizado um MDE com resolução horizontal de 15 m, proveniente de interferometria de par de imagens Sentinel-1 IW. Foram adotados limiares morfométricos para eliminação de falsas depressões, associados a análises supervisionadas de imagens históricas do software Google Earth Pro. Foram quantificadas 299 depressões na área de estudo, sendo 270 destas pertencentes ao carste, cobrindo uma área de 803,42 ha. A utilização de diferentes MDE’s, incluindo sua fusão possibilitou identificar depressões que passariam desapercebidas quando a análise é feita por apenas um modelo. A utilização do MDE oriundo de imagens Sentinel-1, possibilitou tornar a delimitação mais suave e próxima à realidade.

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Assessment of freely available DSMs for automatic karst feature detection

Cited by 10 publications

References 21 publications

Recharge Assessment in Greek Karst Systems: Methodological Considerations and Implications

Recharge Assessment in Greek Karst Systems: Methodological Considerations and Implications

Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application

Detecção E Delimitação De Depressões Cársticas Na Bacia Do Rio Sobrado – To, a Partir De Variados Modelos Digitais De Elevação

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